Dynamic Analysis of a Rotating System Due to the Effect of Ball Bearing Waviness (I) -Vibration Analysis-

2002 ◽  
Vol 26 (12) ◽  
pp. 2647-2655
Keyword(s):  
Dynamic Analysis ◽  
Vibration Analysis ◽  
Ball Bearing ◽  
Rotating System

Vibration analysis of a rotating system due to the effect of ball bearing waviness

2004 ◽  
Vol 269 (3-5) ◽  
pp. 709-726 ◽  
Author(s):  
Gunhee Jang ◽  
Seong-Weon Jeong
Keyword(s):  
Vibration Analysis ◽  
Ball Bearing ◽  
Rotating System

Study of ball bearing fatigue damage using vibration analysis: application to thrust ball bearings

2015 ◽  
Vol 53 (2) ◽  
pp. 325-336 ◽  
Author(s):  
Toumi M. Yessine ◽  
Bolaers Fabrice ◽  
Bogard Fabien ◽  
Murer Sebastien
Keyword(s):  
Fatigue Damage ◽  
Vibration Analysis ◽  
Ball Bearing ◽  
Ball Bearings ◽  
Analysis Application

Estimation of the Surface Roughness on the Race or Balls of Ball Bearings by Vibration Analysis

1987 ◽  
Vol 109 (1) ◽  
pp. 60-68 ◽  
Author(s):  
H. Kanai ◽  
M. Abe ◽  
K. Kido
Keyword(s):  
Surface Roughness ◽  
Vibration Analysis ◽  
Diagnostic Method ◽  
Ball Bearing ◽  
Vibration Signal ◽  
Short Length ◽  
New Method ◽  
Ball Bearings ◽  
Accuracy Rate ◽  
Percent Accuracy

This paper describes a vibration-based diagnostic method by estimating the surface roughness on the rotating ring or balls in ball bearings. The surface roughness has been measured by a stylus that directly traverses the surface of the ring or balls obtained by taking apart the ball bearing. We developed a new method to estimate accurately the surface roughness by analyzing the short-length vibration signal that is excited when balls encounter flaws on the rotating ring or when races encounter flaws on the balls in a ball bearing. Our experimental results confirm that the roughness estimated by the proposed method agrees with that measured directly by using a stylus even in the case of crack μm wide. We applied this new method to the diagnosis of surface roughness in small-sized ball bearings and inferior samples were detected with a 95.3 percent accuracy rate.

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